Likelihood to Recommend
[KNIME Analytics] is greatly suited for repetitive tasks one has to perform in excel as it automates these mundane tasks. [KNIME Analytics] is also well suited for creating a seamless connection with other BI tools to enable hands-free file sharing. [KNIME Analytics] has improvements to make on the overall User interface, its data visualization package and advanced level of AI-related tasks such as text mining,
Read full review
Tableau Server is well suited for a data warehouse build and handling big data. Tableau data aggregation, transformation, clustering capability is powerful and easy to implement. The choice of charts and visualisation tools is outstanding. Customisation and dynamic data visualisation capability is superb. The user interface takes some time getting used to.
Read full review Pros Easy to use without much knowledge of coding. Connection to other languages such as JS, R, Python, etc. Workflow is displayed as connected nodes which makes it easy to troubleshoot and visualize. Open-source. Have a decent size community that supports Q&A. Ivan Cui
Data Scientist - Biotech Data Science Digtialization (BDSD)
Read full review It's good at doing what it is designed for: accessing visualizations without having to download and open a workbook in Tableau Desktop. The latter would be a very inefficient method for sharing our metrics, so I am glad that we have Tableau Server to serve this function. Publishing to Tableau Server is quick and easy. Just a few clicks from Tableau Desktop and a few seconds of publishing through an average speed network, and the new visualizations are live! Seeing details on who has viewed the visualization and when. This is something particularly useful to me for trying to drive adoption of some new pages, so I really appreciate the granularity provided in Tableau Server Read full review Cons It does not have proper visualization. Some other BI tools (QlikView) have much easier functions for data interaction. Some other BI tools (Tableau) can be set up much faster. It is not an easy tool to use for non-tech savvy staff. Read full review Tableau Server has had some issue handling some of our larger data sets. Our extract refreshes fail intermittently with no obvious error that we can fix Tableau Server has been hard to work with before they launched their new Rest API, which is also a little tricky to work with Read full review Likelihood to Renew
I am happy with the product. It provides the required functionality.
Read full review
It simply is used all the time by more and more people. Migrating to something else would involve lots of work and lots of training. The renewal fee being fair, it simply isn't worth migrating to a different tool for now.
Read full review Usability
It performs all the required functions.
Read full review
Tableau Server is unbeatable at creating easy to use, interactive dashboards for busy executives. The software also saves time for the busy analyst that is tired of always using Excel. Tableau Server is a head and shoulders improvement over Excel.
Read full review Reliability and Availability
Our instance of Tableau Server was hosted on premises (I believe all instances are) so if there were any outages it was normally due to scheduled maintenance on our end. If the Tableau server ever went down, a quick restart solved most issues
Read full review Performance
While there are definitely cases where a user can do things that will make a particular worksheet or dashboard run slowly, overall the performance is extremely fast. The user experience of exploratory analysis particularly shines, there's nothing out there with the polish of Tableau.
Read full review Support Rating
Since it is relatively new, there has not developed a vast previously asked/frequently asked questions library that comes up when you google an issue you come across with. This will happen only in time, and as the community grows. Because of the same reason, the community is not big. Consequently, it is possible not to receive good, fast responses to asked questions in community hubs and forums.
Read full review
We have consistently had highly satisfactory results every time we've reached out for help. Our contractor, used for Tableau server maintenance and dashboard development is very technically skilled. When he hits a roadblock on how to do something with Tableau, the support staff have provided timely and useful guidance. He frequently compares it to Cognos and says that while Cognos has capabilities Tableau doesn't, the bottom line value for us is a no-brainer
Read full review In-Person Training
In our case, they hired a private third party consultant to train our dept. It was extremely boring and felt like it dragged on. Everything I learned was self taught so I was not really paying attention. But I do think that you can easily spend a week on the tool and go over every nook and cranny. We only had the consultant in for a day or two.
Read full review Online Training
The Tableau website is full of videos that you can follow at your own pace. As a very small company with a Tableau install, access to these free resources was incredibly useful to allowing me to implement Tableau to its potential in a reasonable and proportionate manner.
Read full review Implementation Rating
Implementation was over the phone with the vendor, and did not go particularly well. Again, think this was our fault as our integration and IT oversight was poor, and we made errors. Would they have happened had a vendor been onsite? Not sure, probably not, but we probably wouldn't have paid for that either
Read full review Alternatives Considered Alteryx : allows for generally "data" knowledgeable workers to easily implement and develop a data model in an automated fashion. The collaboration tools built in also make is easy for members to share work, best practices, and custom modules Alteryx is not cloud based solution where as KNIME Analytics has that Alteryx was selected due to better user interface and better in data analytics Read full review
Today, if my shop is largely Microsoft-centric, I would be hard pressed to choose a product other than Power BI. Tableau was the visualization leader for years, but Microsoft has caught up with them in many areas, and surpassed them in some. Its ability to source, transform, and model data is superior to Tableau. Tableau still has the lead in some visualizations, but Power BI's rise is evidenced by its ever-increasing position in the leadership section of the Gartner Magic Quadrant.
Read full review Return on Investment It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node. Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product. Read full review Tableau does take dedicated FTE to create and analyze the data. It's too complex (and powerful) a product not to have someone dedicated to developing with it. There are some significant setup for the server product. Once sever setup is complete, it's largely "fire and forget" until an update is necessary. The server update process is cumbersome. Read full review ScreenShots Tableau Server Screenshots